Corrected Kriging Update Formulae for Batch-Sequential Data Assimilation

  • Clément Chevalier
  • David Ginsbourger
  • Xavier Emery
Conference paper

DOI: 10.1007/978-3-642-32408-6_29

Part of the Lecture Notes in Earth System Sciences book series (LNESS)
Cite this paper as:
Chevalier C., Ginsbourger D., Emery X. (2014) Corrected Kriging Update Formulae for Batch-Sequential Data Assimilation. In: Pardo-Igúzquiza E., Guardiola-Albert C., Heredia J., Moreno-Merino L., Durán J., Vargas-Guzmán J. (eds) Mathematics of Planet Earth. Lecture Notes in Earth System Sciences. Springer, Berlin, Heidelberg

Abstract

Recently, a lot of effort has been spent in the efficient computation of kriging predictors when observations are assimilated sequentially. In particular, kriging update formulae enabling significant computational savings were derived. Taking advantage of the previous kriging mean and variance computations helps avoiding a costly matrix inversion when adding one observation to the \(n\) already available ones. In addition to traditional update formulae taking into account a single new observation, Emery (2009) proposed formulae for the batch-sequential case, i.e. when \(k\,>\,1\) new observations are simultaneously assimilated. However, the kriging variance and covariance formulae given in Emery (2009) for the batch-sequential case are not correct. In this paper, we fix this issue and establish correct expressions for updated kriging variances and covariances when assimilating observations in parallel. An application in sequential conditional simulation finally shows that coupling update and residual substitution approaches may enable significant speed-ups.

Keywords

Gaussian process  Kriging weights Sequential conditional simulation 

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Clément Chevalier
    • 1
  • David Ginsbourger
    • 1
  • Xavier Emery
    • 2
  1. 1.IMSVUniversity of BernBernSwitzerland
  2. 2.Department of Mining Engineering and Advanced Mining Technology CenterUniversity of ChileSantiagoChile

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